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Found 95 Skills
Show status of all features in .dev/. Scans feature folders using parallel agents, generates a status report, and offers to archive completed features.
Scans the codebase against another skill's criteria using a parallel agent team. Use when the user says /scan <skill-name> to audit code quality, find violations, or assess conformance to best practices.
Execute plan files by launching multiple parallel subagents to complete tasks simultaneously. Triggers on explicit "/parallel-task" commands.
Use git worktrees to run multiple coding agents in parallel on one repo without collisions. Use when starting a task in a shared repo, when the user says "worktree", "parallel agents", "one worktree per task", or when agents keep overwriting each other's changes. Covers creating worktrees, making them as complete as the main checkout (.env files, dependencies, databases, ports), merging back, and cleanup.
Design exploration with parallel agents. Use when brainstorming ideas, exploring solutions, or comparing alternatives.
Use to review uncommitted changes and recent commits in the working tree. Dispatches 8 specialized review agents in parallel and returns a consolidated report
Use when long-running or parallel agent work must respect 5-hour and weekly usage limits by checking usage between waves, pausing near the cap, and resuming only when the window is clear.
Invoke when the user asks to review, check, audit, or look over Qt6 C++ code — or suggest before committing. Runs deterministic linting (60+ rules) then six parallel deep- analysis agents covering model contracts, ownership, threading, API correctness, error handling, and performance. Reports only high-confidence issues (>80/100) with structured mitigations. Read-only — never modifies code.
Launch multiple explore subagents in parallel to investigate architecture, data models, auth, APIs, and deployment. Synthesize into an onboarding document.
Launch multiple sub-agents in parallel to execute tasks across files or targets with intelligent model selection and quality-focused prompting
Agent testing methodology - run agents with test inputs, observe outputs, iterate until outputs are accurate and well-structured.